cse 311: foundations of computing Spring 2015 Lecture 3: Logic and Boolean algebra
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1 cse 311: foundations of computing Spring 2015 Lecture 3: Logic and Boolean algebra
2 gradescope Homework #1 is up (and has been since Friday). It is due Friday, October 9 th at 11:59pm. You should have received (i) An invitation from Gradescope [if not, cse311-staff ASAP] (ii) An from me about (i) [if not, go to the course web page and sign up for the class list] Note: Homework and extra credit are separate assignments.
3 1 more gates NAND (X Y) X Y Z X Y Z NOR (X Y) X Y Z X Y Z XOR X Y X Y Z X 0 Y 0 Z XNOR X Y, X = Y X Y Z X Y Z
4 review: logical equivalence Terminology: A compound proposition is a Tautology if it is always true Contradiction if it is always false Contingency if it can be either true or false p p p p (p q) p Tautology! Contradiction! Contingency! (p q) (p q) ( p q) ( p q) Tautology!
5 logical equivalence A and B are logically equivalent if and only if A B is a tautology i.e. A and B have the same truth table The notation A B denotes A and B are logically equivalent. Example: p p p p p p p T F T T F T F T
6 p q p q p q p q review: de Morgan s laws if!(front!= null && value > front.data) front = new ListNode(value, front); else { ListNode current = front; while!(current.next == null current.next.data >= value) current = current.next; current.next = new ListNode(value, current.next); } This code inserts value into a sorted linked list. The first if runs when: front is null or value is smaller than the first item. The while loop stops when: we ve reached the end of the list or the next value is bigger.
7 review: law of implication p q ( p q) p q p q p p q (p q) ( p q) T T T F T T T F F F F T F T T T T T F F T T T T
8 computing equivalence Describe an algorithm for computing if two logical expressions/circuits are equivalent. What is the run time of the algorithm? Compute the entire truth table for both of them! There are 2 n entries in the column for n variables.
9 some familiar properties of arithmetic x + y = y + x p q q p p q q p (commutativity) x y + z = x y + x z p q r p q (p r) p q r p q (p r) (distributivity) x + y + z = x + (y + z) (associativity) p q r p q r p q r p (q r)
10 properties of logical connectives Identity p T p p F p Domination p T T p F F Idempotent p p p p p p You will always get this list. Associative p q r p q r p q r p q r Distributive p q r p q (p r) p q r p q (p r) Absorption p p q p p p q p Commutative p q q p p q q p Negation p p T p p F
11 Reflect basic rules of reasoning and logic Allow manipulation of logical formulas Simplification Testing for equivalence Applications Query optimization Search optimization and caching Artificial intelligence / machine learning Program verification understanding connectives
12 equivalences related to implication p q p q p q q p p q p q (q p) p q p q
13 logical proofs To show P is equivalent to Q Apply a series of logical equivalences to sub-expressions to convert P to Q To show P is a tautology Apply a series of logical equivalences to sub-expressions to convert P to T
14 prove this is a tautology p q (p q)
15 prove this is a tautology (p (p q)) q
16 prove these are equivalent (p q) r p (q r)
17 prove these are not equivalent (p q) r p (q r)
18 Boolean logic Combinational Logic output = F(input) Sequential Logic output t = F(output t-1, input t ) output dependent on history concept of a time step (clock, t) Boolean Algebra consisting of a set of elements B = {0, 1} binary operations { +, } (OR, AND) and a unary operation { } (NOT) George homeopathy Boole
19 a combinatorial logic example Sessions of class: We would like to compute the number of lectures or quiz sections remaining at the start of a given day of the week. Inputs: Day of the Week, Lecture/Section flag Output: Number of sessions left Examples: Input: (Wednesday, Lecture) Output: 2 Input: (Monday, Section) Output: 1
20 implementation in software public int classesleft (weekday, lecture_flag) { switch (day) { case SUNDAY: case MONDAY: return lecture_flag? 3 : 1; case TUESDAY: case WEDNESDAY: return lecture_flag? 2 : 1; case THURSDAY: return lecture_flag? 1 : 1; case FRIDAY: return lecture_flag? 1 : 0; case SATURDAY: return lecture_flag? 0 : 0; } }
21 implementation with combinational logic Encoding: How many bits for each input/output? Binary number for weekday One bit for each possible output Weekday Lecture?
22 defining our inputs public int classesleft (weekday, lecture_flag) { switch (day) { case SUNDAY: case MONDAY: return lecture_flag? 3 : 1; case TUESDAY: case WEDNESDAY: return lecture_flag? 2 : 1; case THURSDAY: return lecture_flag? 1 : 1; case FRIDAY: return lecture_flag? 1 : 0; case SATURDAY: return lecture_flag? 0 : 0; } } Weekday Number Binary Sunday 0 (000) 2 Monday 1 (001) 2 Tuesday 2 (010) 2 Wednesday 3 (011) 2 Thursday 4 (100) 2 Friday 5 (101) 2 Saturday 6 (110) 2
23 converting to a truth table Weekday Number Binary Sunday 0 (000) 2 Monday 1 (001) 2 Tuesday 2 (010) 2 Wednesday 3 (011) 2 Thursday 4 (100) 2 Friday 5 (101) 2 Saturday 6 (110) 2 Weekday Lecture? c0 c1 c2 c
24 truth table logic (part one) DAY d2d1d0 L c0 c1 c2 c3 SunS SunL MonS MonL TueS TueL c3 = (DAY == SUN and LEC) or (DAY == MON and LEC) c3 = (d2 == 0 && d1 == 0 && d0 == 0 && L == 1) (d2 == 0 && d1 == 0 && d0 == 1 && L == 1) c3 = d2 d1 d0 L + d2 d1 d0 L WedS WedL Thu FriS FriL Sat
25 truth table logic (part two) DAY d2d1d0 L c0 c1 c2 c3 SunS SunL MonS MonL TueS TueL c3 = d2 d1 d0 L + d2 d1 d0 L WedS WedL c2 = (DAY == TUE and LEC) or (DAY == WED and LEC) c2 = d2 d1 d0 L + d2 d1 d0 L Thu FriS FriL Sat
26 truth table logic (part three) DAY d2d1d0 L c0 c1 c2 c3 SunS SunL MonS MonL TueS c3 = d2 d1 d0 L + d2 d1 d0 L c2 = d2 d1 d0 L + d2 d1 d0 L TueL WedS WedL c1 = [you do this one] Thu FriS FriL c0 = d2 d1 d0 L + d2 d1 d0 Sat
27 logic gates d2 d1 d0 L c3 = d2 d1 d0 L + d2 d1 d0 L NOT NOT NOT AND AND (multiple input AND gates) [LEVEL UP] OR DAY d2d1d0 L c0 c1 c2 c3 SunS SunL MonS MonL TueS TueL WedS WedL Thu FriS FriL Sat
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